Emerging Trends and Future Directions in Next-Generation Video Analysis
Абдуллаев ШерзодDepartment of Information Systems and Technologies, Karshi State Technical University, Karshi, UzbekistanJumatova GulzarDepartment of Work With International and National Ratings, Tashkent State University of Economics, Tashkent, UzbekistanUlugbek BobamuratovDepartment of Information Technology and Exact Sciences, Termez University of Economics and Service, Termez, UzbekistanMukimov AskarDepartment of Digital Technologies, Alfraganus University, Tashkent, Uzbekistan
2026
ABI
Abstract
Next-generation video analysis is rapidly evolving through advancements in artificial intelligence, deep learning, multimodal learning, and edge computing. Emerging trends such as real-time intelligent processing, self-supervised learning, vision-language models, and explainable AI are enabling more accurate, efficient, and reliable video understanding systems. These technologies support applications in healthcare, smart cities, autonomous systems, security, and industrial automation. This study explores future directions and challenges in developing scalable, adaptive, and trustworthy video analysis solutions for complex real-world environments.
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